Research on Navigation Information Flow Architecture of the Three Gorges under the Support of Internet of Things

The Three Gorges section of Yangtze River is of great importance and complexity, where ship locks, ships and cargos constitute a complex transportation logistics system. This system concentrates a large amount of information, and some of the information changes with time. The obtaining manner and processing method of such information are both important content of the work, without which the whole system would be obstructed. With cluster analysis and relational grade analysis of the navigation information, the system operating situation can be obtained by observing the information stream, and the navigation information flow architecture of Three Gorges under the support of internet of things is built. Therefore the traffic flow and material flow can be predicted and analyzed, so better ship lock scheduling is achieved.

• Record URL:
  • https://doi.org/10.1061/41177(415)342
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411773
• Supplemental Notes:
  • Copyright © 2011 ASCE
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Sun, Xing
  • Yan, XinPing
  • Yin, Qizhi
  • Chu, Xiumin
• Conference:
  • First International Conference on Transportation Information and Safety (ICTIS)
  • Location: Wuhan , China
  • Date: 2011-6-30 to 2011-7-2
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 2721-2727
• Monograph Title: ICTIS 2011: Multimodal Approach to Sustained Transportation System Development: Information, Technology, Implementation

Subject/Index Terms

• TRT Terms: Freight traffic; Internet of things; Navigation; Statistical analysis
• Geographic Terms: Yangtze River
• Subject Areas: Data and Information Technology; Marine Transportation; I71: Traffic Theory;

Filing Info

• Accession Number: 01485477
• Record Type: Publication
• ISBN: 9780784411773
• Files: TLIB, TRIS, ASCE
• Created Date: Jul 2 2013 10:00AM